Train

Fine-tune open modelson your own data.

Adapters, supervised fine-tuning or preference tuning, on your GPU or ours. No PyTorch code to write.

Start training freeRead the quick start

Methods

Pick how the model learns.

  • LoRA and QLoRA

    Train a small adapter on a frozen model; QLoRA loads the model in 4-bit so bigger models fit smaller GPUs.

  • Supervised fine-tuning

    Teach the model your task from chat-format examples.

  • Preference tuning

    DPO, ORPO and KTO learn from answers your team prefers.

Where it runs

Your hardware or ours.

  • On your GPU

    Langtune trains on your own machine, so your data is never uploaded.

  • On Langtrain's GPUs

    Start a run from the dashboard, Studio or the SDK and follow it as it trains.

  • Weights you keep

    Standard weights on your disk, or in your own Hugging Face repo after a cloud run.

Train your first modeltoday.

Start training freeSee pricing
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Langtrain

Fine-tune open models on your data. Keep the weights.

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Member of the NVIDIA Inception programme for startups.

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